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Medium · 4.8 CVE-2026-12491 EUVD-2026-37645GHSA-8jr5-v98p-w75mGHSA-x8xr-mj9x-6h7wPYSEC-2026-3406

Vllm: vllm: image exif rotation & png trns transparency not normalized, causing mismatch between model input and expectations

Published Jun 17, 2026 · Updated Jul 7, 2026 · Assigned by redhat

Description

A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency (tRNS) data, during image processing. When images are converted to RGB, transparency information may be implicitly discarded or remapped, leading to unexpected rendering of transparent pixels and distortion of input content. This can result in the model misinterpreting image content, potentially affecting the integrity of processed data.

Affected products

VendorProductAffectedFixed
vllm-project vLLM 0.11.0 – < 0.24.0 0.24.0
Red Hat Red Hat AI Inference Server — —
Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3 — —
Red Hat Red Hat OpenShift AI (RHOAI) — —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI vllm >= 0.11.0, < 0.24.0 0.24.0 GHSA-8jr5-v98p-w75m
PyPI vllm >= 0.11.0, <= 0.23.0 — PYSEC-2026-3406

Advisories 1

References